Compare Elementary Data and Monte Carlo 
Featured Products
At a Glance
Market Segments
Mid-Market (55.6% of reviews)
Enterprise (50.7% of reviews)
Entry-Level Pricing
No pricing available
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Elementary Data
Star Rating
(18)4.5 out of 5
Market Segments
Mid-Market (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Elementary DataMonte Carlo
Star Rating
(488)4.3 out of 5
Market Segments
Enterprise (50.7% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Monte Carlo excels in real-time alerts for data quality issues, which has significantly improved users' awareness and proactive resolution of data problems. This feature allows teams to address issues before stakeholders notice them, enhancing overall data reliability.
- Users say that Elementary Data shines with its seamless integration with dbt, making setup straightforward and efficient. Reviewers appreciate the effective webinars and comprehensive documentation that support users in maximizing the tool's capabilities.
- According to verified reviews, Monte Carlo's focus on data observability has led to a high satisfaction score, with users highlighting its continuous feature updates that enhance usability and intuitiveness, making it a strong choice for data monitoring.
- Reviewers mention that while Elementary Data offers a robust dashboard for measuring data quality, it faces challenges in areas like reporting and automation, where users feel it could improve compared to Monte Carlo's offerings.
- G2 reviewers highlight that Monte Carlo has a larger user base, reflected in its substantial number of reviews, which suggests a more established presence in the market. This can provide potential buyers with greater confidence in the product's reliability and support.
- Users note that while both products have strong support ratings, Monte Carlo's users feel it has been a better partner in business, indicating a higher level of satisfaction with customer service and ongoing product development compared to Elementary Data.
Pricing
Entry-Level Pricing
Elementary Data
No pricing availableMonte Carlo
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All you need to make data reliable for one team
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Lineage
Free Trial
Elementary Data
No trial information availableMonte Carlo
No trial information availableRatings
Meets Requirements
8.5
16
8.3
447
Ease of Use
8.5
18
8.2
454
Ease of Setup
8.7
17
8.2
319
Ease of Admin
8.9
6
8.5
161
Quality of Support
9.2
14
9.0
401
Has the product been a good partner in doing business?
8.7
5
9.2
164
Product Direction (% positive)
10.0
16
8.9
444
Features by Category
Functionality
Not enough data
9.0
260
Not enough data
8.8
261
Not enough data
7.8
237
Not enough data
8.3
246
Not enough data
7.7
241
Not enough data
7.4
243
Agentic AI - Database Monitoring
Not enough data
7.1
13
Not enough data
6.9
13
Not enough data
6.9
13
Not enough data
7.1
13
Not enough data
6.8
12
Not enough data
6.5
13
Not enough data
7.1
13
Data Management
Not enough data
8.6
52
Not enough data
8.5
48
Not enough data
8.6
52
Not enough data
7.9
50
Agentic AI - DataOps Platforms
Not enough data
7.6
7
Not enough data
6.7
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Analytics
Not enough data
7.9
51
Not enough data
7.7
48
Monitoring and Management
Not enough data
9.2
56
Not enough data
7.7
49
Cloud Deployment
Not enough data
7.5
44
Not enough data
7.1
42
Generative AI
Not enough data
6.3
35
Not enough data
6.2
35
Functionality
4.9
13
7.4
292
9.1
13
8.8
330
8.6
14
8.1
297
8.1
13
8.0
305
Management
9.0
13
8.7
327
8.7
13
7.7
286
7.9
14
8.3
319
7.8
13
8.0
310
7.8
13
8.1
313
Generative AI
6.3
5
5.8
232
Agentic AI - Data Observability
Not enough data
6.3
28
Not enough data
6.4
28
Not enough data
6.8
28
Not enough data
6.4
26
Not enough data
6.8
30
Functionality
9.0
7
8.1
189
4.3
7
6.5
175
4.3
7
6.7
169
4.5
7
6.1
164
7.9
7
6.5
166
Management
9.0
8
7.2
169
8.1
6
7.5
169
9.7
6
8.0
169
9.3
7
7.4
176
7.5
6
7.5
169
Generative AI
1.1
6
5.2
145
1.1
6
5.3
145
Categories
Categories
Shared Categories
Elementary Data and Monte Carlo are categorized as Data Observability, Data Quality, DataOps Platforms, and Database Monitoring
Unique Categories
Elementary Data has no unique categories
Monte Carlo has no unique categories
Reviews
Reviewers' Company Size
Elementary Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Financial Services
22.2%
Retail
11.1%
Entertainment
11.1%
Computer Software
11.1%
Consulting
5.6%
Other
38.9%
Financial Services
13.9%
Information Technology and Services
11.5%
Computer Software
11.3%
Marketing and Advertising
3.6%
Manufacturing
3.4%
Other
56.3%
Discussions
Elementary Data has no discussions with answers
What is Monte Carlo software?
1 Comment
MV
Monte Carlo is a fully automated, end-to-end data observability platform that helps data engineering teams reduce time to detection and resolution for data...Read more
Monte Carlo has no more discussions with answers
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